東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Quantification of Methane Emissions ...

Chulakadabba, Apisada.

Linked to FindBook

Google Book

Amazon

博客來

Quantification of Methane Emissions From Discrete Sources.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantification of Methane Emissions From Discrete Sources./
Author:	Chulakadabba, Apisada.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	140 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
Subject:	Environmental engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31295030
ISBN:	9798382777382

Quantification of Methane Emissions From Discrete Sources.
Chulakadabba, Apisada.

Quantification of Methane Emissions From Discrete Sources. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 140 p.

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

Thesis (Ph.D.)--Harvard University, 2024.

Various point source methane quantification approaches enable comprehensive estimation of methane emissions, which is essential for effective methane monitoring and mitigating strategies. This study uses remote sensing data from projects like MethaneAIR and MethaneSAT to develop robust quantification methods for methane emissions. We explore techniques such as modified integrated mass enhancement (mIME), divergence integral (DI), ratio method, and Geostatistical Inverse Model (GIM) approach, considering factors like the nature of the sources, their size, the background noise, and topography.In the first chapter, we aim to develop rigorous point source quantification approaches for MethaneAIR and MethaneSAT satellites. We explore different techniques to quantify methane emissions from discrete sources and devise a method based on large eddy simulations. Although initially tested on high-resolution Chinese satellites due to the early stage of the Methane AIR and MethaneSAT projects, these algorithms pave the way for faster development of methods tailored to our projects.In the second chapter, we apply our quantification methods to controlled release experiments and evaluate their performance on MethaneAIR data. Our findings show good agreement between estimated and released emissions as well as mIME and DI quantification methods. We develop a decision tree to determine the most suitable method for specific scenarios, enhancing our under- standing of method limitations and informing the development of MethaneSAT algorithms.The final chapter focuses on a detection limit analysis of MethaneAIR to evaluate MethaneSAT's potential performance. Using large eddy simulations, we estimate MethaneSAT's detection limit as a function of noise across different resolutions. Additionally, we demonstrated successful point source estimation based on the GIM, bridging the gap between point source and area source quantification techniques. The findings better prepare us for MethaneSAT data analysis.In conclusion, this study lays the foundation for methane point source quantification for the MethaneAIR and MethaneSAT projects. The lessons learned extend beyond our projects; they can allow the appropriate selection of methane emission quantification approaches for various scenarios.

ISBN: 9798382777382Subjects--Topical Terms:

548583
Environmental engineering.
Subjects--Index Terms:

Greenhouse gas

Quantification of Methane Emissions From Discrete Sources.
LDR:03437nmm a2200385 4500 001 2400147
005 20240924101916.5
006 m o d
007 cr#unu||||||||
008 251215s2024 ||||||||||||||||| ||eng d
020 $a 9798382777382
035 $a (MiAaPQ)AAI31295030
035 $a AAI31295030
040 $a MiAaPQ $c MiAaPQ
100 1 $a Chulakadabba, Apisada. $0 (orcid)0000-0001-8180-4200 $3 3770115
245 1 0 $a Quantification of Methane Emissions From Discrete Sources.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 140 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
500 $a Advisor: Wofsy, Steven C.
502 $a Thesis (Ph.D.)--Harvard University, 2024.
520 $a Various point source methane quantification approaches enable comprehensive estimation of methane emissions, which is essential for effective methane monitoring and mitigating strategies. This study uses remote sensing data from projects like MethaneAIR and MethaneSAT to develop robust quantification methods for methane emissions. We explore techniques such as modified integrated mass enhancement (mIME), divergence integral (DI), ratio method, and Geostatistical Inverse Model (GIM) approach, considering factors like the nature of the sources, their size, the background noise, and topography.In the first chapter, we aim to develop rigorous point source quantification approaches for MethaneAIR and MethaneSAT satellites. We explore different techniques to quantify methane emissions from discrete sources and devise a method based on large eddy simulations. Although initially tested on high-resolution Chinese satellites due to the early stage of the Methane AIR and MethaneSAT projects, these algorithms pave the way for faster development of methods tailored to our projects.In the second chapter, we apply our quantification methods to controlled release experiments and evaluate their performance on MethaneAIR data. Our findings show good agreement between estimated and released emissions as well as mIME and DI quantification methods. We develop a decision tree to determine the most suitable method for specific scenarios, enhancing our under- standing of method limitations and informing the development of MethaneSAT algorithms.The final chapter focuses on a detection limit analysis of MethaneAIR to evaluate MethaneSAT's potential performance. Using large eddy simulations, we estimate MethaneSAT's detection limit as a function of noise across different resolutions. Additionally, we demonstrated successful point source estimation based on the GIM, bridging the gap between point source and area source quantification techniques. The findings better prepare us for MethaneSAT data analysis.In conclusion, this study lays the foundation for methane point source quantification for the MethaneAIR and MethaneSAT projects. The lessons learned extend beyond our projects; they can allow the appropriate selection of methane emission quantification approaches for various scenarios.
590 $a School code: 0084.
650 4 $a Environmental engineering. $3 548583
650 4 $a Environmental science. $3 677245
650 4 $a Remote sensing. $3 535394
653 $a Greenhouse gas
653 $a Large eddy simulation
653 $a Methane
653 $a Divergence integral
653 $a Geostatistical Inverse Model
690 $a 0775
690 $a 0768
690 $a 0799
710 2 $a Harvard University. $b Engineering and Applied Sciences - Engineering Sciences. $3 3184097
773 0 $t Dissertations Abstracts International $g 85-12B.
790 $a 0084
791 $a Ph.D.
792 $a 2024
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31295030